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Sensitivity of the Regional Water Balance in the Columbia River Basin to Climate Variability: Application of a Spatially Distributed Water Balance Model

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Watershed Management

Abstract

A one-dimensional water balance model was developed and used to simulate the water balance for the Columbia River Basin. The model was run over a 10 km digital elevation grid representing the U.S. portion of the basin. The regional water balance was calculated using a monthly time step for a relatively wet year (1972 water year), a relatively dry year (1977 water year), and a double (2xCO2) climate scenario. Input data, spatially distributed over the grid, included precipitation, maximum soil moisture storage capacity, potential evapotranspiration (PET), and threshold baseflow. The model output provides spatially distributed surfaces of actual evapotranspiration (ET), runoff, and soil storage. Model performance was assessed by comparing modeled ET and runoff with the input precipitation data, and by comparing modeled runoff with measured runoff. The model reasonably partitions incoming precipitation to evapotranspiration and runoff. However, modeled total annual runoff was significantly less than measured runoff, primarily because precipitation is underestimated by the network of measurement stations and because of limitations associated with the interpolation procedure used to distribute the precipitation across the grid. Estimated precipitation is less than measured runoff, a physical impossibility. Under warmer 2xC02 climate conditions (January 4.0°K warmer, July 6.5°K warmer), the model predicts that PET increases by about 80%, ET increases, and runoff and soil moisture decrease. Under these climate conditions, the distribution and composition of forests in the region would change dramatically, and water resources would become more limited.

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Dolph, J., Marks, D., King, G.A. (1992). Sensitivity of the Regional Water Balance in the Columbia River Basin to Climate Variability: Application of a Spatially Distributed Water Balance Model. In: Naiman, R.J. (eds) Watershed Management. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4382-3_8

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